Results 41 to 50 of about 16,407 (250)

Estimating Gini Coefficient from Grouped Data Based on Shape-Preserving Cubic Hermite Interpolation of Lorenz Curve

Mathematics, 2021
The Lorenz curve and Gini coefficient are widely used to describe inequalities in many fields, but accurate estimation of the Gini coefficient is still difficult for grouped data with fewer groups.
Songpu Shang, Songhao Shang
doaj   +1 more source

Loss of SOCS1 in Donor T Cells Exacerbates Intestinal GVHD by Driving a Chemokine‐Dependent Pro‐Inflammatory Immune Microenvironment

Advanced Science, EarlyView.
T cell‐specific Socs1 knockout leads to inflammatory differentiation of CD8+ T cells, prompting the STAT1/2 complex to drive the activation of Ccl5, Ccr5, and Cxcr3, and promoting the skewing of monocytes toward a pro‐inflammatory M1 macrophage lineage.
Zhigui Wu, Bixia Wang, Xinya Jiang, Fangqing Zhang, Qianqian Huang, Xinyi Wu, Shuang Fan, Qi Zhang, Jingrui Zhou, Jianing Tang, Xiao‐Dong Mo, Yu Wang, Ying‐Jun Chang, Huidong Guo, Xiao‐Jun Huang   +14 more
wiley   +1 more source

PM10 Impairs CD56dim NK Cell Cytotoxicity via FNBP1 Suppression to Exacerbate Rheumatoid Arthritis: Insights from Multimodal Multi‐Omics

Advanced Science, EarlyView.
This study, through multi‐omics approaches and animal models, revealed that air pollutant PM10 exacerbates the progression of rheumatoid arthritis (RA) by suppressing FNBP1 expression and impairing the cytotoxic function of CD56dim NK cells. The “PM10–FNBP1–NK cells” axis provided novel insights into the environmental pathogenesis of RA and suggested ...
Runhan Zhao, Qinyang Zhang, Yu Jiang, Dagang Tang, Xiao Qu, Jun Zhang, Yi Chen, Weixia Duan, Tao Li, Zhengwei Cai, Yanran Huang, Xiaoji Luo   +11 more
wiley   +1 more source

Rapid Remodeling of the Human Gut Microbiome in Response to Short‐Term Animal Product Restriction and Associations with Host Molecular Phenotypes

Advanced Science, EarlyView.
A real‐world model of structured animal product restriction practiced for religious reasons reveals the dynamic adaptability of the human gut microbiome to dietary change and uncovers reductions in diversity and rare taxa loss. Integrated microbiome, metabolomic, and proteomic analyses uncover coordinated taxonomic and molecular shifts and identify ...
Christina Emmanouil, Maria Anezaki, Alexandros Simistiras, Stavros Glentis, Nikolaos Scarmeas, Pantelis Hatzis, Konstantinos Rouskas, Antigone S. Dimas   +7 more
wiley   +1 more source

An Increasing Misalignment Between Crop Distribution and Environmental Resources Under Climate Change in China

Advanced Science, EarlyView.
Climate change reshapes the spatial alignment between crop production and environmental resources. Using multi‐source data and a crop model, integrated climatic, water, and soil endowments for maize and wheat are quantified and compared with harvest distributions.
Zheng'e Su, Zhentao Zhang, Jin Zhao, Xia Liang, Chuang Zhao, Zhijuan Liu, Minghao Zhuang, Jing Sun, Bo Lu, Ke Liu, Johannes W. M. Pullens, Matthew T. Harrison, Deli Chen, Xiaoguang Yang   +13 more
wiley   +1 more source

Targeted Extracellular Vesicles Deliver Asiaticoside to Inhibit AURKB/DRP1‐Mediated Mitochondrial Fission and Attenuate Hypertrophic Scar Formation

Advanced Science, EarlyView.
Hypertrophic scar formation is driven by excessive mitochondrial fission in wound macrophages, which we discover is governed by a novel AURKB‐DRP1(Ser616) axis. The study develops a targeted therapy using cRGD‐decorated extracellular vesicles to deliver the natural compound Asiaticoside specifically to macrophages.
Luyu Li, Chenli Si, Xue Wang, Xiaojin Wu, Ying Shang, Shengfang Ge, Yong Wang, Yong Zuo, Zhen Zhang   +8 more
wiley   +1 more source

SAGE: Spatially Aware Gene Selection and Dual‐View Embedding Fusion for Domain Identification in Spatial Transcriptomics

Advanced Science, EarlyView.
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He, Yunpei Xu, Liqing Ding, Hong‐Dong Li, Yaohang Li, Shaokai Wang   +5 more
wiley   +1 more source

Deformation‐Induced Formation of Stray Grains in Additive Manufacturing of Single Crystals

Advanced Science, EarlyView.
Stray grain formation severely limits the additive manufacturing of single‐crystal alloys. By integrating in situ synchrotron techniques, ex situ characterization, and multi‐scale multi‐physics modeling, the authors reveal that stray grains originate from dislocations at the solid‐liquid interface, rather than thermal supercooling in conventional ...
Dongsheng Zhang, Zixu Guo, Yuxiao Li, Lu Wang, Yu Wu, Darui Sun, Wentao Yan, Yuanyuan Guo, Han Wang, Wei Liu, Ye Tao, Bingbing Zhang   +11 more
wiley   +1 more source

The Power of Unity: Collective Action and Smallholder Agricultural Performance in West Africa

Agribusiness, EarlyView.
ABSTRACT We analyze the impact of collective action through farmer‐based organizations (FBOs) on smallholders' farm performance and income inequality in Ghana, Benin, The Gambia, and Mali. We find that FBO membership increases cereal yield in Ghana and The Gambia, legume yield in Mali, ruminant numbers in Benin and The Gambia, and total farm income in ...
Emmanuel Donkor, Bright Owusu Asante, David Boansi, Victor Owusu   +3 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source